Google Landmark Retrieval Competition: Image retrieval is a fundamental problem in computer vision: given a query image, can you find similar images in a large database? This is especially important for query images containing landmarks, which accounts for a large portion of what people like to photograph.
In this competition, Kagglers are given query images and, for each query, are expected to retrieve all database images containing the same landmarks (if any).
The new dataset is the largest worldwide dataset for image retrieval research, comprising more than a million images of 15K unique landmarks. We hope that this release will accelerate progress in this important research problem.
Google Landmark Retrieval Competition
This challenge is organized in conjunction with the Landmark Recognition Challenge (. In particular, note that the test set for both challenges is the same, to encourage participants to compete in both.
We also encourage participants to use the training data from the recognition challenge to train models which could be useful for the retrieval challenges.
About the competition
In this competition, the developed models are expected to retrieve relevant database images to a given query image (ie, the model should retrieve database images containing the same landmark as the query).
This challenge is organized in conjunction with the Landmark Recognition Challenge 2020, which will be released soon (stay tuned!). Both challenges will be discussed at the Instance-Level Recognition workshop in ECCV’20.
About the ECCV workshop
This competition is part of the Instance-Level Recognition workshop at ECCV 2020. Top submissions for the competition will be invited to give talks at the workshop.
Attending the workshop is not required to participate in the competition, however, only teams that are attending the workshop will be considered to present their work.
Next important deadline
August 10, 2020 – Entry deadline.
Prizes
$25,000 total prize pool.
